Documentation

The following links describe a set of basic PCL tutorials. Please note that
their source codes may already be provided as part of the PCL regular releases,
so check there before you start copy & pasting the code. The list of tutorials
below is automatically generated from reST files located in our git repository.

In this tutorial, we will learn how to concatenate both the fields and the point data of two Point Clouds. When concatenating fields, one PointClouds contains only XYZ data, and the other contains Surface Normal information.

This tutorial describes how to use the Conditional Euclidean Clustering class in PCL:
A segmentation algorithm that clusters points based on Euclidean distance and a user-customizable condition that needs to hold.

Applications

This tutorial gives an example of how some of the tools covered in the previous tutorials can be combined to solve a higher level problem — aligning a previously captured model of an object to some newly captured data.